Senior Process Engineer - AI-Driven Yield & Fab Excellence

GlobalFoundries inc.; Malaysia; On-site; MYR 90,000 - 150,000; Full time

Job summary

GlobalFoundries Malaysia in Penang is seeking a process engineer to support sustaining production and optimization across multiple fabs. You will monitor key production metrics, improve recipes, and drive yield improvement using data-driven methods.

Your role includes coaching associates and contributing to automation initiatives. Ideal candidates hold an engineering degree (multiple disciplines) and show experience in big data, AI/ML, and Python.

Qualifications

• Strong knowledge of big data analysis and AI/ML.
• Proficiency in Python programming.
• Experience with wafer fabrication is a plus.
• Excellent teamwork and communication skills.

Responsibilities

• Support sustain production line, SPC/FDC monitoring, and troubleshoot process and tool issues.
• Lead CIP projects to improve process robustness, cost and capacity efficiency.
• Develop new process recipes for new or existing technologies.
• Improve process performance indices using big data analytics and structured problem solving.
• Collaborate with cross-functional teams across fabs and suppliers for recipe convergence.
• Support production ramp through qualification, productivity improvement, and tool releases.
• Train Associate Engineers to meet daily operational needs.
• Opportunity for job rotation and overseas assignments.

Skills

Big data analysis

AI/ML

Python

Wafer fabrication

Education

MS/BS in Chemical Engineering

MS/BS in Electrical/Electronic Engineering

MS/BS in Mechanical Engineering

MS/BS in Materials Science Engineering

MS/BS in Chemistry & Physics

Job description

GlobalFoundries Malaysia in Penang is seeking a process engineer to support sustaining production and optimization across multiple fabs. You will monitor key production metrics, improve recipes, and drive yield improvement using data-driven methods.

Your role includes coaching associates and contributing to automation initiatives. Ideal candidates hold an engineering degree (multiple disciplines) and show experience in big data, AI/ML, and Python.